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INTRODUCTION TO ENGINEERING STATISTICS AND SIX SIGMA by T. Allen
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Standort: Kansas City, Missouri, USA
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eBay-Artikelnr.:313549152786
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- Artikelzustand
- Gut
- Hinweise des Verkäufers
- Subject
- Science & Technology
- ISBN
- 9781852339555
Über dieses Produkt
Product Identifiers
Publisher
Springer
ISBN-10
1852339551
ISBN-13
9781852339555
eBay Product ID (ePID)
48259472
Product Key Features
Book Title
Introduction to Engineering Statistics and Six SIGMA : Statistical Quality Control and Design of Experiments and Systems
Number of Pages
529 Pages
Language
English
Topic
Engineering (General), Probability & Statistics / General, Statistics, Strategic Planning, Quality Control
Publication Year
2006
Illustrator
Yes
Genre
Mathematics, Technology & Engineering, Business & Economics
Format
Hardcover
Dimensions
Item Height
1.4 in
Item Weight
33.3 Oz
Item Length
9.5 in
Item Width
6.5 in
Additional Product Features
Intended Audience
Trade
LCCN
2005-934591
Dewey Edition
22
Reviews
From the reviews: "A basic introduction to six sigma concepts, this book provides added depth to some statistical concepts. Theodore Allen uses a wide variety of example types to show the value of tools ranging from administrating medication in a hospital to welding with robotics. a? One of the main points that Allen makes throughout the book is that, you do not need to understand all the theory behind the statistics to benefit from these tools. a? I recommend this book." (Roger Sauter, Boeing, in Technometrics , Vol. 49 (2), 2007)
Dewey Decimal
620.0072
Table Of Content
List of AcronymsIntroductionPart I Statistical Quality ControlStatistical Quality Control and Six SigmaDefine Phase and StrategyMeasure Phase and Statistical ChartingAnalyze PhaseImprove or Design PhaseControl or Verify PhaseAdvanced SQC MethodsSQC Case StudiesSQC TheoryPart II Design of Experiments (DOE) and RegressionDOE: The Jewel of Quality EngineeringDOE: Screening Using Fractional FactorialsDOE: Response Surface MethodsDOE: Robust DesignRegressionAdvanced Regression and AlternativesDOE and Regression Case StudiesDOE and Regression TheoryPart III Optimization and StrategyOptimization and StrategyTolerance DesignSix Sigma Project DesignGlossaryProblem SolutionsIndex
Synopsis
Many have heard that six sigma methods are necessary to survive, let alone thrive, in today?'s competitive markets, but are not really sure what the methods are or how or when to use them. Introduction to Engineering Statistics and Six Sigma contains precise descriptions of all of the many related methods and details case studies showing how they have been applied in engineering and business to achieve millions of dollars of savings. Specifically, the methods introduced include many kinds of design of experiments (DOE) and statistical process control (SPC) charting approaches, failure mode and effects analysis (FMEA), formal optimization, genetic algorithms, gauge reproducibility and repeatability (R&R), linear regression, neural nets, simulation, quality function deployment (QFD) and Taguchi methods. A major goal of the book is to help the reader to determine exactly which methods to apply in which situation and to predict how and when the methods might not be effective. Illustrative examples are provided for all the methods presented and exercises based on case studies help the reader build associations between techniques and industrial problems. A glossary of acronyms provides familiarity with six sigma terminology and solutions to homework and practice exams are included., Six sigma methods are necessary to thrive, as well as survive, in today's competitive markets. This book contains precise descriptions of all of the many related six sigma methods. It also includes many case studies that detail how these methods have been applied in engineering and business to achieve millions of dollars of savings. This book will help readers to determine exactly which methods to apply in which situations and to predict how and when the methods might not be effective. Illustrative examples are provided for all the methods presented and exercises based on the case studies help the reader build associations between techniques and industrial problems. A glossary of acronyms provides familiarity with six sigma terminology and solutions to homework and practice exams are included., This volume contains precise descriptions of the many related Six Sigma methods along with details of case studies showing how these methods have been applied in engineering and business to achieve substantial savings.
LC Classification Number
TA340
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